Università Cattolica del Sacro Cuore MSc in Actuarial Sciences, Risk and Data Analysis
Università Cattolica del Sacro Cuore

Università Cattolica del Sacro Cuore

MSc in Actuarial Sciences, Risk and Data Analysis

Milan, Italy

MSc

2 years

English

Full time

Sep 2026

EUR 9,370 / per year **

On-Campus

* 5 May 2026 for non-Eu students | 24 June 2026 for Eu students

** non-EU residents | €6,850 for EU residents per year

Key Summary

About: The MSc in Actuarial Sciences, Risk and Data Analysis at Università Cattolica covers statistical methods and quantitative models for economics, finance, demography, insurance and social security. You’ll learn research design, modeling, forecasting and model validation using data to analyze corporate and socio-demographic systems. Università Cattolica hosts more than 126 nationalities across four international campuses.

Career Outcomes: Graduates gain tools for roles in private companies and public institutions, including banks, insurance companies and welfare organizations. You’ll analyze markets and socio-economic scenarios, manage HR and run statistical analyses. Typical roles include Actuary, Risk Manager, Data Scientist, Quantitative Analyst and Insurance Underwriter.

  • Strong knowledge of statistical methodology and its applications in the fields of economics, economic management, finance, demography, sociology, insurance, and social security
  • Deep knowledge of mathematical models, specifically probability models to apply to finance and actuarial phenomena as well as economic and corporate sciences
  • Deep knowledge of quantitative models in the area of risk management
  • Mastery of logic, conceptual, and methodological tools for planning and executing research for the analysis and evaluation of complex systems linked to economies, production, markets, insurance problems, and the environment, with a specific reference to the occurrence of damaging events
  • Corresponding ability to build models that explain and foresee phenomena being studied and establish their applicability and validity with data analysis, and therefore a highly qualifying operating ability in the field of quantitative analysis of economic, corporate, socio-demographic, and financial problems related to social security and insurance.